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Group-based recurrent neural network for human mobility prediction · Study

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ArticleGroup-based recurrent neural network for human mobility prediction

Shengren Ke2022

Article2022

Group-based recurrent neural network for human mobility prediction

Shengren Ke · Meiyi Xie · Hong Ping Zhu · Zhongsheng Cao

12 citations·0/0 files stored·Neural Computing and Applications

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Human Mobility and Location-Based Analysis Data Management and Algorithms Traffic Prediction and Management Techniques

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References

2010Limits of Predictability in Human Mobility 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts 2014Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs 2018DeepMove 2012Next place prediction using mobility Markov chains 2012Predicting future locations with hidden Markov models 2016GMove 2019Predicting Human Mobility via Variational Attention

Cited by

2022Beyond fixed time and space: next POI recommendation via multi-grained context and correlation 2023The spatiotemporal prediction method of urban population density distribution through behaviour environment interaction agent model 2024Exploring the potential of deep regression model for next-location prediction 2024Coupling graph neural networks and travel mode choice for human mobility prediction

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2021Self-supervised human mobility learning for next location prediction and trajectory classificationarticle · 7 shared references 2020Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networksarticle · 7 shared references 2021A Survey on Deep Learning for Human Mobilityarticle · 7 shared references 2022Predicting Human Mobility via Graph Convolutional Dual-attentive Networksother · 6 shared references 2020Deep Learning for Human Mobility: a Survey on Data and Models.preprint · 6 shared references 2020Predicting Human Mobility via Long Short-Term Patternsarticle · 6 shared references

Details

Year2022

Typearticle

Published2022-04-12

VenueNeural Computing and Applications

ISSN-L0941-0643

Languageen

Citations12

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1007/s00521-022-06971-6

openalex_workW4223422807

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